Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
11
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part I): Assessment of Participant Reach and Adoption
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e281
(Dec 19, 2013)
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21 5.47 51.00 14 90
 
 
12
Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action
Rosemary Thackeray, Brad L Neiger, Scott H Burton, Callie R Thackeray
J Med Internet Res 2013;15(11):e255
(Nov 11, 2013)
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17 3.36 47.00 9 60
 
 
13
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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36 6.00 42.00 87 95
 
 
14
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2011;13(4):e123
(Dec 16, 2011)
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81 13.50 41.00 529 100
 
 
15
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e282
(Dec 19, 2013)
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17 4.43 35.00 8 60
 
 
16
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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26 5.20 30.00 23 90
 
 
17
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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24 4.00 30.00 103 100
 
 
18
Development and Initial Evaluation of an Internet-Based Support System for Face-to-Face Cognitive Behavior Therapy: A Proof of Concept Study
Kristoffer NT Månsson, Erica Skagius Ruiz, Elisabet Gervind, Mats Dahlin, Gerhard Andersson
J Med Internet Res 2013;15(12):e280
(Dec 10, 2013)
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19 4.60 30.00 13 90
 
 
19
Aligning Medication Reconciliation and Secure Messaging: Qualitative Study of Primary Care Providers’ Perspectives
Leonie Heyworth, Justice Clark, Thomas B Marcello, Allison M Paquin, Max Stewart, Cliona Archambeault, Steven R Simon
J Med Internet Res 2013;15(12):e264
(Dec 2, 2013)
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12 2.74 30.00 11 60
 
 
20
The Role of Social Media in Online Weight Management: Systematic Review
Tammy Chang, Vineet Chopra, Catherine Zhang, Susan J Woolford
J Med Internet Res 2013;15(11):e262
(Nov 28, 2013)
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33 7.31 29.00 19 90
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.